Guo Liang
Web Developer Of Intelligent Fault Diagnosis For Screw at SouthWest Jiaotong University
Chengdu, Sichuan, China
Summary
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Senior🎓
Top SchoolGuo Liang is a web developer and PhD candidate with 12 years of experience specializing in intelligent fault diagnosis for screws and vibration signal processing using dictionary learning and sparse representation. He combines hands-on full‑stack development (HTML/CSS/Bootstrap frontend, Tornado/Python backend, MariaDB) with academic research in mechanical prognostics using multi-sensor machine learning, contributing a public ConditionMonitoringWeb repository. As a visiting researcher at Clemson, he collaborated with noted faculty on applied signal processing, and his work forms part of an NSF-funded research thread. Known for translating advanced signal‑processing methods into practical diagnostic web tools, he brings a rare blend of academic rigor and production-facing engineering from Chengdu.
12 years of coding experience
Visiting Student, Computer Science, Visiting Student, Computer Science at Clemson UniversityDoctor of Philosophy (PhD), Electrical and Mechatronical, Doctor of Philosophy (PhD), Electrical and Mechatronical at Southwest Jiaotong University
Chinese, English
Github Skills (7)
extraction4
feature-extraction4
python3
machine-learning2
deep-learning2
computer-vision2
transfer-learning1
Programming languages (1)
Github contributions (5)
LeonGuo1988/SchoolPredict
Feb 2015 - Mar 2015
Contributions:12 commits, 1 PR, 9 pushes in 29 days
LeonGuo1988/RemainingUsefulLife
Dec 2014 - Jan 2015
Contributions:13 commits, 1 PR, 11 pushes in 18 days
recognition-algorithmsextractionpythonfeature-extractiondeep-learning
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